zia207 / Satellite-Images-Classification-with-H2O-R
Deep Neural Network with H2O- R: Satellite Images Classification
☆13Updated 6 years ago
Alternatives and similar repositories for Satellite-Images-Classification-with-H2O-R:
Users that are interested in Satellite-Images-Classification-with-H2O-R are comparing it to the libraries listed below
- Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification☆32Updated 6 years ago
- Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"☆23Updated 2 years ago
- An R package for NASA’s GEDI Level 4A data download, processing and visualization.☆24Updated last year
- Extension for rgee☆42Updated last year
- 🌎🌏🌏 Google Earth Engine with R : : Cheatsheet 🚀☆17Updated 2 years ago
- Import PRISMA hyperspectral data and convert them to a "friendly" format☆28Updated 2 years ago
- Unsorted archived Earth Engine scripts☆21Updated 2 years ago
- Repository to run YATSM time series models on many Landsat scenes and perform area calculations☆14Updated 5 years ago
- Remote Sensing Tools for Forest Monitoring☆56Updated last month
- ☆24Updated this week
- A R package for running Object-based Image Analysis and optimizing image segmentation parameters☆15Updated last year
- Python (Google Earth Engine), JavaScript (Google Earth Engine) and R code to extract river ice condition from Landsat satellites, to deve…☆27Updated 5 years ago
- Presentations for the OpenGeoHub Summer School 2019: https://opengeohub.org/summer_school_2019☆20Updated 11 months ago
- Material for the course on machine-learning based environmental monitoring at geostat 2018☆37Updated 6 years ago
- Wiki to develop users' contributed material for GEE documentation☆20Updated 5 years ago
- ☆24Updated 5 years ago
- Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020☆15Updated 4 years ago
- Breakpoint detection of Landsat pixel time series via BFAST-based algorithms, provided as a Shiny app☆19Updated last year
- Exploring RGEE.☆23Updated 2 years ago
- An automated system for creating spectrally consistent and cloud-free Landsat image time series stacks from a combination of MSS, TM, ETM…☆49Updated 4 months ago
- R package for harmonic modelling of time-series data☆29Updated 4 years ago
- phenofit examples in version 3.0☆24Updated last year
- ☆23Updated last year
- 📦🐍 Mapping deforestation risk following JNR methodology☆24Updated 6 months ago
- Additional point cloud metrics to use with *_metric functions in lidR☆19Updated 8 months ago
- LandsatTS is an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time-series data.☆27Updated 3 months ago
- Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.☆22Updated 8 months ago
- Code for building raster files of elevation derivatives, python and R scripts for using these rasters for building and applying random fo…☆23Updated last week
- A collection of 250+ examples for using Google Earth Engine in R☆30Updated 4 years ago
- R package to calculate surface energy balance models☆24Updated 2 years ago